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II. EDUCATION
Class X, CBSE Board Examination: 95%. Subject-wise marks.
School honours.
Activities. Tech-no-logic Club, Varsity Soccer Team, Varsity Track Team, Youth Ambassador and International Speaker at Generation Global, IVECA (International Virtual Exchange Classroom Activities), GoSharpener, wEvolve (former member). |
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III. SUMMER SCHOOLS & PROGRAMMES
Selected among the top 150 students nationwide (acceptance rate <5%) for a fully funded four-week residential scholarship. Engaged in advanced mathematics, STEM electives, and the Great Ideas Seminar with global scientists. Subsequently chosen as one of 17 alumni to meet CEO Abhishek Lodha at the India@2047 summit. Detailed coursework in Appendix A.1.
Selected for The Junior Academy, a global STEM innovation programme of the New York Academy of Sciences. Served as Team Lead for AEGIS-PV, coordinating a cross-cultural team across India, the United States, Kazakhstan, Armenia, Canada, and Greece. Under the mentorship of Prof. Christos Liambas, led the development of innovative solar-infrastructure solutions through collaborative research, ideation, and problem-solving. Active Young Member of The New York Academy of Sciences from July 2026 to June 2028 tenure.
Admitted by the GHLC Admissions Committee from a record Early Notification applicant pool and awarded a full scholarship covering 100% of participation costs. Engaging with Johns Hopkins-affiliated physicians, researchers, and global-health leaders through sessions on infectious disease, health systems, global surgery, digital health, equity, and public-health leadership.
Selected fellow in a faculty-led Stanford Medicine program on molecular imaging research and biomedical imaging applications. Studying imaging technologies, radiochemistry/tracers, luminescent and cellular imaging, preclinical/clinical translation, and biomedical image analysis/AI; completing a literature-based research report on a molecular imaging topic.
Selected as a Fellow from a 12+ country applicant pool with an approximately 10% acceptance rate. Completing a fully funded eight-week climate-resilience fellowship on climate civics, governance, finance, disaster risk reduction, adaptation solutions, and climate communication; developing a resilience-focused capstone project for publication through The Green Zine. CONFERENCES & SUMMITS
A two-hour invited discussion among 17 students nationwide on India's vision at its centenary of independence, talent retention, and policy directions for nation-building. Press: Lodha Group · Free Press Journal · The Better India · Tycoon World · Instagram |
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IV. PUBLICATIONS & RESEARCH
PEER-REVIEWED PUBLICATIONS
[1] Varshney, Y., Garg, R., Thakur, K., Sinha, A., Pandey, A., Lasisi, A., Lashari, S. A., & Aseere, A. M. (2026). "Service-Effective Frontiers for Distributed Quantum Sensing over Time-Varying LEO Optical Networks." International Journal of Satellite Communications and Networking. DOI: 10.1002/sat.70087. Accepted; in production.
[2] Sinha, A., Equbal, M. T., Yadav, P., Varshney, Y., Pandey, A., & Chandra, P. (2026). "Do Context Models Learn the Right Mechanism? A Controlled Evaluation of Inductive Biases for Context-Aware Tourist Recommendation." IEEE International Conference on Applied Intelligent Devices, Machine Learning and Data Science (AIDML 2026). Presented at the IEEE conference on 8 August 2026.
[3] Badshah, G., Sinha, A., Bansal, H., Varshney, Y., Alqahtani, O., & Srivastava, A. (2026). "Adaptive Drift-Aware Multi-Stage Deep Learning Framework for EEG-Based Schizophrenia Diagnosis." BioData Mining, 19, 38. DOI: 10.1186/s13040-026-00560-2. Published 11 May 2026.
[4] Deshmukh, S., Uprety, D. C., Haroon, M., Banerjee, D., Shoran, P., Varshney, Y., Sinha, A., Sinha, S., & Mishra, S. K. (2026). "Adaptive Hybrid Multi-Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition-Based Learning and Levy Flight Strategies." Engineering Reports, 8(5), e70719. DOI: 10.1002/eng2.70719. First published 27 April 2026. RESEARCH EXPERIENCE
Co-authored "Do Context Models Learn the Right Mechanism? A Controlled Evaluation of Inductive Biases for Context-Aware Tourist Recommendation," an IEEE AIDML international conference paper. Owned the end-to-end ML experimentation and benchmarking pipeline.
Served as a stipended Research Assistant under Anurag Sinha, contributing to ML and signal-processing research on drift-aware EEG-based disease diagnosis. Co-authored "Adaptive Drift-Aware Multi-Stage Deep Learning Framework for EEG-Based Schizophrenia Diagnosis," published in BioData Mining (Springer), SCIE Q1. The research was supported by a grant from the Deanship of Scientific Research, King Khalid University. DOI: 10.1186/s13040-026-00560-2.
Co-authored a research paper on wireless sensor network optimisation using ML, published in Engineering Reports (Wiley), ESCI-indexed. DOI: 10.1002/eng2.70719.
Assisted across multiple phases of ongoing research projects by gathering and organising information, supporting project objectives, conducting literature reviews, and documenting findings. |
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PROJECTS
This project develops a machine-learning framework to identify areas at elevated risk of groundwater arsenic contamination. Using open-access groundwater, geological, hydrochemical, and spatial data from the United States and Bangladesh, it models how contamination relates to subsurface conditions and location. Spatial validation reduces bias from nearby observations, while tiered models balance accessibility and accuracy: a geology-based model supports low-cost screening, and a chemistry-enhanced model enables targeted verification. The final output is a ranked risk map designed to guide field testing, allocate limited resources, and highlight regions where uncertainty or sparse data require further investigation. Awards & Recognition
This project investigates whether proton computed tomography can distinguish materials that appear identical through conventional energy-loss imaging. Using a realistic Geant4 simulation of a proton-tracking system, we studied PVC and PEEK - two polymers with nearly identical water-equivalent path lengths but substantially different radiation lengths. By recovering multiple Coulomb scattering information typically treated as imaging noise, the framework separated the materials at approximately 12σ while reproducing analytical predictions within 3%. A machine-learning layer confirmed the limits of single-proton classification and developed a learned summary statistic that achieved comparable discrimination using roughly 57% fewer protons. The project proposes a dual-modality approach combining energy loss and scattering to improve material identification, reduce imaging dose, and potentially decrease proton-therapy range margins, helping spare healthy tissue, especially in paediatric treatment. Awards & Recognition
InnoBotix is an early-warning system for human-elephant conflict. It is placed along known elephant approach routes and uses ground-vibration sensing, radar, and edge-based image classification to detect and verify movement before elephants reach farms or villages. Verified events can trigger SMS, calls, dashboard alerts, and local warnings for Forest Department and response teams. The system has gone through multiple hardware versions and field testing. Current work focuses on improving detection reliability, reducing false alerts, measuring warning lead time, and validating performance across real field conditions. Protected under provisional patent and currently patent-pending. Awards & Recognition
Mentors
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VI. SERVICE & COMMUNITY ENGAGEMENT
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VII. TECHNICAL SKILLS
Research Interests Wireless Sensor Networks & TinyML. Spatial leakage in cross-validation, link-quality estimation, embedded ML deployment. Biomedical Machine Learning. Drift-aware deep learning for clinical signals, EEG-based diagnosis, distribution shift. Computational Hydrogeology & Environmental ML. Contaminant transport modelling, topological data analysis, spatial cross-validation, uncertainty quantification. Energy Systems & Sustainable Materials. Photovoltaic infrastructure, energy storage, eco-friendly materials. Mathematics. Number theory, combinatorics, proof-based reasoning, experimental mathematics. |
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APPENDIX A.1: LODHA GENIUS PROGRAMME
A fully funded residential scholarship hosted at Ashoka University, Sonepat, Haryana – 131029, India (May – June 2024, four weeks, on-site). Selection: 1 of approximately 150 students nationwide (acceptance rate <5%) through a three-stage selection process. The programme integrates daily academic coursework, hands-on STEM electives, an evening lecture series, and a year-round follow-on engagement. Mathematics Core Daily 1.5-hour theory session by Prof. Shanta Laishram (Indian Statistical Institute, Delhi), covering number theory, combinatorics, and proof-based reasoning, paired with a daily 1.5-hour problem-solving session. Friday sessions on experimental mathematics under Dr. Sagar Srivastava using SageMath: generating data, testing conjectures, and verifying patterns through code rather than analytical methods alone. STEM Electives
Great Ideas Seminar, Featured Speakers Dr. Archana Sharma, Principal Scientist and Senior Advisor for International Relations, CERN; Prof. Rana Adhikari, California Institute of Technology; Dr. Sriram Rajamani, Managing Director, Microsoft Research India Lab, Bangalore; Prof. Lakshminarayanan Mahadevan, Harvard University; Prof. Uday Maitra, Department of Organic Chemistry, Indian Institute of Science, Bangalore; Dr. Tarun Souradeep, Director, Raman Research Institute, Bangalore; Prof. Martin Andler, Université de Versailles Saint-Quentin-en-Yvelines (Paris-Saclay); and Dr. Amala Mahadevan, Senior Scientist, Department of Physical Oceanography, Woods Hole Oceanographic Institution. India@2047 Summit & Lite Touch Programme India@2047 Summit. "India's Geniuses Discuss India@2047" was a summit held on 26 March 2025 at the World Towers, Mumbai, hosted by Mr. Abhishek Lodha (Managing Director and CEO, Macrotech Developers). 17 students from across the country joined a two-hour discussion on India's centenary vision, the role of youth in nation-building, talent retention, and future policy directions. Featured in The Better India and other press releases. Lite Touch Programme. Completed the year-round programme in Entrepreneurship and Design Thinking, complementing the residential experience. Sports. Competed in the Lodha Premier League football tournament; team finished as runners-up. APPENDIX A.2: STANFORD MINI-FELLOWSHIP PROGRAM ON MOLECULAR IMAGING TECHNIQUES A remote summer mini-fellowship hosted through Stanford Medicine's molecular imaging education ecosystem, including the Stanford Center for Innovation in In Vivo Imaging and the Canary Center, Stanford University School of Medicine, Stanford, California – 94305, United States (June – August 2026, virtual). Selection: selected to attend the Summer 2026 Mini-Fellowship on Molecular Imaging Techniques. The programme runs through weekly Thursday Zoom lectures and is designed as an early academic introduction to biomedical imaging research, molecular imaging technologies, clinical translation, and AI/deep-learning applications in imaging. Programme Overview The Stanford Mini-Fellowship introduces molecular imaging as a biomedical research and clinical tool for visualising, characterising, and quantifying biological processes at the cellular and molecular levels in living subjects. The curriculum is structured around faculty-led virtual sessions, with an emphasis on translational biomedical research, imaging agents and tracers, preclinical and clinical applications, and computational image analysis. The programme is open to students interested in biomedical research, cancer imaging, STEM, and medicine-related careers, including high-school, undergraduate, gap-year, and early graduate students. Academic Structure Module 1: Introduction to Molecular Imaging and Imaging Technologies. Session 1: Program Opening and Introduction to Molecular Imaging. Frezghi Habte, PhD; Arutselvan Natarajan, PhD · 11 June 2026. Introductory session on the purpose of molecular imaging, its role in biomedical research, and its use in studying biological processes in living systems. Covered foundational concepts connecting molecular biology, imaging physics, biomedical instrumentation, and translational research. Session 2: Imaging Technologies. Frezghi Habte, PhD; Laura Jean Pisani, PhD · 18 June 2026. Overview of current imaging technologies used in molecular and biomedical imaging. Introduced major imaging modalities and their research/clinical roles, including how imaging systems differ in resolution, sensitivity, contrast mechanisms, biological targets, and translational use. Session 3: Imaging Agents/Tracers and Radiochemistry. Bo Zhang, PhD · 25 June 2026. Lecture on imaging agents, molecular probes, tracers, and radiochemistry. Focused on how imaging contrast is generated at the molecular level and how tracers are designed or selected to visualise biological pathways, disease processes, and therapeutic response. Break. July 2: July 4th holiday break. Module 2: Optical and Luminescent Imaging: Cellular and Preclinical Applications. Session 4: Physics of Luminescent Imaging. Guillem Pratx, PhD · 9 July 2026. Session on the physical principles behind luminescent imaging, including how optical signals are produced, detected, and interpreted in biomedical research. Relevant to understanding optical probes, signal generation, sensitivity, and limitations in biological systems. Session 5: Cellular Imaging. Ramasamy Paulmurugan, PhD · 16 July 2026. Lecture on imaging at the cellular and molecular scale, including methods used to visualise cellular processes, gene expression, signalling pathways, and therapeutic mechanisms. Connects molecular biology with imaging readouts used in experimental research. Session 6: Preclinical Imaging Applications. Edwin Chang, PhD · 23 July 2026. Session on the use of imaging in preclinical models to study disease biology, validate imaging probes, evaluate therapeutic effects, and bridge laboratory research with clinical translation. Module 3: Clinical Applications and AI/Deep Learning in Molecular Imaging. Session 7: Clinical Applications. Hong Song, PhD · 30 July 2026. Session on how molecular imaging technologies translate into clinical settings, including diagnostic imaging, disease characterisation, patient stratification, treatment monitoring, and healthcare applications. Session 8: Biomedical Image Analysis and AI Applications. Frezghi Habte, PhD; Pranav Durai · 6 August 2026. Lecture on computational analysis of biomedical images, including the role of AI and deep learning in interpreting imaging data, identifying patterns, improving workflow, and supporting research and clinical decision-making. Closing Seminar. Session 9: Closing Seminar. Frezghi Habte, PhD; Arutselvan Natarajan, PhD · 15 August 2026. Final programme session bringing together the core themes of molecular imaging, translational biomedical research, and student-directed exploration. Selected participants may present short molecular-imaging topic presentations during the closing seminar. Optional Reading Assignment and Recognition The programme includes an optional reading assignment on a molecular imaging topic of interest. Participants select a topic, read multiple related research papers, and prepare a concise report of fewer than two pages. The report is expected to summarise the research problem, its importance, the novelty of the work, methods used, results obtained, relevance to molecular imaging or healthcare, and a brief critique of unclear limitations or future directions. Students submitting the report by the programme deadline qualify for additional recognition on the certificate. Students interested in presenting at the closing ceremony submit a short presentation of fewer than five slides, designed for a 3–5 minute oral presentation focused on the motivation, methods, results, and relevance of the chosen molecular imaging topic. APPENDIX A.3: THE GLOBAL HEALTH LEADERS CONFERENCE AT JOHNS HOPKINS UNIVERSITY A selective virtual global-health education programme associated with the Johns Hopkins University Center for Global Health, Baltimore, Maryland – 21218, United States (June – July 2026, virtual). Selection: admitted by the GHLC Admissions Committee from a record number of Early Notification applications and awarded a full scholarship covering 100% of the programme participation cost. The selected cohort includes emerging leaders with backgrounds in research, innovation, nonprofit work, athletics, music, national examinations, medicine, and global-health-related impact. The 2026 programme runs from 23 June to 16 July 2026, with speaker sessions held on Tuesdays and Thursdays over Zoom. Programme Overview The Global Health Leaders Conference at Johns Hopkins University introduces secondary-school students to global health, public health, medicine, health equity, and health-system leadership. The programme brings together students from around the world to learn from physicians, researchers, public-health experts, biomedical innovators, and global-health practitioners. Its academic focus includes infectious disease, health systems, global surgery, digital health, health equity, healthcare delivery, and public-health decision-making. Selection and Scholarship Admission was offered by the GHLC Admissions Committee after review of academic accomplishments, extracurricular engagements, personal background, and demonstrated commitment to meaningful impact. The admission letter noted that the 2026 Early Notification cycle received a record number of applications and that the selected cohort represented an exceptional group of emerging leaders. Upon review, I was also awarded a full scholarship, fully covering the cost of participation and requiring no programme fee. Institutional Context The conference is organized by Glohea at JHU, a Johns Hopkins student-, alumni-, and faculty-led academic organization associated with the Johns Hopkins Center for Global Health. The programme connects high-school students worldwide with the Johns Hopkins global-health community and provides exposure to professionals working across medicine, public health, epidemiology, global health research, biomedical innovation, and health policy. Speaker Session Schedule All speaker sessions are held virtually over Zoom, generally from 12:00–1:00 p.m. Eastern Time unless otherwise noted. Live attendance is recommended to allow interaction with speakers, while video recordings are made available after each session. Dr. Thomas Quinn · Opening Speech · 23 June 2026. Opening session introducing global health as an interdisciplinary field connecting medicine, public health, epidemiology, health systems, infectious disease, and equity. Dr. Quinn's role as a senior infectious-disease and global-health leader provides a strong foundation for the programme's broader themes. Dr. Deanna Saylor · 25 June 2026. Speaker session connecting neurology, infectious disease, implementation science, and global health. Relevant to understanding how specialist medical care and health-system capacity can be strengthened in lower-resource settings. Dr. Youseph Yazdi · 30 June 2026. Session connected to biomedical engineering, medical-device innovation, design thinking, and translational health technologies. Relevant to global-health problem solving through engineering, clinical innovation, and scalable medical solutions. Dr. Atul Gawande · 2 July 2026. Speaker session with a major surgeon, writer, public-health leader, and former USAID global-health administrator. Relevant to health systems, surgical care, public-health delivery, global-health policy, and the practical challenges of implementing healthcare at scale. Dr. Chris Beyrer · 7 July 2026. Session connected to global health, epidemiology, infectious disease, human rights, and public-health leadership. Relevant to understanding how global-health work intersects with vulnerable populations, health equity, policy, and disease prevention. Dr. Patrick Tang · 9 July 2026, 10:00 a.m. Eastern Time. Speaker session scheduled outside the standard time block. Relevant to infectious disease, microbiology, outbreak response, laboratory medicine, and diagnostic systems in global-health contexts. Dr. Tigistu Ashengo · 14 July 2026. Speaker session connected to global health practice, health systems strengthening, surgical care, maternal and newborn health, HIV/TB prevention, and public-health leadership in resource-limited settings. Dr. Smisha Agarwal · 16 July 2026. Speaker session connected to digital health, maternal and newborn health, community health systems, and technology-supported health interventions. Relevant to understanding how digital tools can strengthen primary care and health delivery in low-resource settings. Student Speaker Series Accepted students are eligible to apply for the Student Speaker Series, through which selected participants present their own global-health research, advocacy, or topic-based work. Possible presentation areas include pandemic preparedness, food insecurity, climate change and health, period poverty and stigma, antibiotic resistance, child poverty and mortality, cancer, mental health, digital health, and other global-health issues. This opportunity allows participants to move beyond passive attendance and contribute original analysis or advocacy to an international student audience. Academic Themes Global Health and Equity. The programme frames health as a global and social issue, emphasizing disparities in access, outcomes, resources, and health-system capacity across populations. Infectious Disease and Epidemiology. Multiple speaker sessions connect to infectious disease, outbreak response, HIV, global surveillance, diagnostics, and the role of epidemiology in public-health decision-making. Health Systems and Policy. Sessions highlight the design and delivery of healthcare at scale, including how policy, infrastructure, financing, workforce capacity, and implementation determine whether medical advances reach communities. Biomedical Innovation and Digital Health. The programme includes exposure to medical-device design, diagnostics, digital health, and community health technologies, connecting technical innovation with real-world health needs. Global Surgery and Clinical Delivery. Speaker sessions address surgery, clinical care, and healthcare delivery in lower-resource settings, demonstrating how global health includes both public-health systems and direct medical capacity. Participant Role As an admitted full-scholarship participant, engagement includes attending speaker sessions, interacting with speakers where possible, reviewing session recordings, learning from an international cohort of students, and potentially preparing a Student Speaker Series presentation on an independent global-health topic. The programme strengthens academic exposure to public health, medicine, health equity, and global-health leadership while connecting classroom-level interest in health sciences with real-world global challenges. |
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